Figure 2 - uploaded by Julián D. Cortés
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Number of RCs by year (left y-axis) and number of unique hand-curated terms extracted from RCs (right y-axis).
Source publication
Each government has priorities for science, technology and innovation policy/ies (STIP). How to identify the changing or reinforced STIP research priorities induced by government transitions? This study aims to unveil the STIP changing structure at the public funding research call contents in Colombia from 2007 to 2022, applying a co-word and netwo...
Context in source publication
Context 1
... For an RC and its ASJC to be processed, it should have more than two research fields to form at least a triad of concepts. Figure 2 presents the number of RCs and unique terms extracted from them. The average number of RCs per year was ~26 and the number of unique terms by year was ~288. ...
Citations
... The mismatch between inventive and research capacities adds to a stream of evidence which points towards an atomization and disconnection between Science, Technology and Innovation Policies (STIP); and the scientific workforce, national research fronts, and research path dependency in Colombia [14,15,17,18]. Multiple factors might explain this misalignment, such as the growth of knowledge specialization; international collaboration; time-lag between STIP implementation and impact; and bypassing path dependency of science and inventive capacities, among others [15]. ...
Patentometrics in middle and low-income countries is an emergent field. Here, we propose a methodological appraisal which combines text mining (lexical similarity) and network science (bipartite network) to associate the inventive structure of research and patents by matching classification standards in a middle-income country, Colombia, as a pilot study. We sourced and processed a sample of 2900+ patents and 42,800+ research articles. First, we matched two research and patenting classification standards using lexical similarity and mod-eled their connections using a bi-partite network. Based on this matching, we identified frequent correspondence between the research fields and the patent sections. Then, we estimated the correlation between research and patenting output-proxy as a national inventive and scientific capacity. There is no overall significant relationship between inventive and scientific capacities. Global and local factors, such as the growth of knowledge specialization or bypassing the path dependency of science and inventive capacities, shed light on this misalignment.
... We used two datasets. First, a hand-curated dataset of 225 research funding calls issued by Colombia's MinCiencias (Ministry of Science Technology and Innovation) from 2013 to 2021 [16,17]. In this dataset, the research areas/fields explicitly supported by the research funding calls were sourced, translated to English, and then standardized using the ASJC (All Science Journal Classification) [44]. ...
... Co-word Network Analysis. To identify highly strategic research areas/fields based on the content structure of Colombia's research funding calls, we replicated Cortés and Ramírez-Cajiao [16,17] methodology. They applied a co-word analysis to assemble an information-based network of co-occurring research fields [8]. Figure 1 presents an example of three hypothetical research fields connected via a joint research funding call in which they were explicitly mentioned/supported. ...
... We found no statistically significant correlation between both variables, which unveils a missing linkage between STIP and the available scientific workforce in the country. Evidence shows that Colombia's STIP policy is getting more interconnected and network-dense, assembling an intricate and diversified structure of research fields enunciated, thereby making it difficult to establish a middle and long-run national science vision [17]. ...
STIP (science, technology, and innovation policy/es) strive to give direction and incentives to the formation and specialization of the scientific workforce. How to draw the linkage between both factors of the national STI system? Here we explore the correlation between highly strategic research areas/fields supported by STIP and the scientific workforce of Colombia from 2013 to 2021. We used a dataset of 225 research funding calls and a sample of 28,000 + scientist profiles. We found no statistically significant correlation between both variables. Our discussion orbited around government STIP transitions, STIP models, and STIP timing of implementation. Our contribution lies in proposing a standardized and replicable diagnosis to identify strategic research areas/fields supported by STIP to the absent literature on STIP-scientific workforce relationship in the contexts of middle and low-income countries.
